Head of Engineering

About LEVL Telematics

LEVL Telematics is a leader in telematics solutions, specialising in data-driven technology for fleet management, electric vehicles (EV), and automotive telematics. We empower our clients with insights that optimise fleet performance, enhance safety, and reduce operational costs.

With approximately 32,000 active connections through our Geotab partnership, LEVL has built a strong and successful business. As the market evolves and new competitive dynamics emerge, LEVL is now entering an exciting new phase – building an AI-first platform to transform both customer outcomes and internal operations.

This is a high-impact, hands‑on builder role responsible for designing, building, and scaling LEVL’s AI-first product and internal AI capabilities. You will own the development of an AI-powered Co‑Pilot for fleet customers, while also embedding AI across the business – from support and operations through to sales and marketing. This is not a strategy‑only role. You will be expected to build, ship, and iterate quickly, working directly with the CEO and playing a critical role in shaping the future of the business.

• Lead the end‑to‑end development of LEVL’s AI Co‑Pilot product, from MVP to scalable, production‑ready solution
• Design and implement scalable, secure, multi‑tenant architecture
• Build and integrate AI‑driven workflows across the business
• Work hands‑on with AI tools such as OpenAI and Anthropic/Claude
• Integrate multiple data sources into a unified platform
• Collaborate directly with the CEO on product direction
• Rapidly prototype and iterate with a focus on commercial outcomes
• Support and mentor internal team members
• Contribute to building a future engineering team

Must Have

• Experience building and shipping AI‑powered products
• Demonstrated leadership and hands‑on expertise in adopting agentic development practices across the full software development lifecycle (SDLC), leveraging tools such as Codex, Claude Code, and Google Antigravity to accelerate engineering productivity, code quality, and delivery velocity
• Hands‑on experience working with large language models (LLMs) and AI application architectures
• Ability to rapidly move from concept to MVP in fast‑paced environments
• Experience integrating AI capabilities into business processes and operational workflows
• Strong ownership mindset with a bias toward execution and accountability
• Strong commercial awareness with the ability to align engineering initiatives to business outcomes

Nice to Have

• Experience with Intercom, Hub Spot or similar tools
• SaaS, data, IoT or telematics experience
• Startup or scale‑up experience
• Experience building scalable systems

• Build an AI‑first product from the ground up
• Work directly with the CEO
• Own product and AI transformation
• Access to real‑world datasets
• High autonomy and fast execution environment
• Opportunity to build a team

• Coventry‑based (hybrid)

• Competitive salary with performance‑based bonus

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